fig1

Accelerating materials discovery via AI-Agent integration of large language models and simulation tools

Figure 1. AI-Agent for material design. AI: Artificial Intelligence; QM9: Quantum Machine 9; C2DB: Computational 2D Materials Database; 2D: two-dimensional; VASP: Vienna Ab Initio Simulation Package; LAMMPS: Large-scale Atomic/Molecular Massively Parallel Simulator; RDKit: Open-Source Cheminformatics Software Toolkit; VASPKIT: VASP Toolkit; COSMO-RS: Conductor-like Screening Model for Real Solvents; GCGNN: Graph Convolutional Graph Neural Network; DimeNer++: Directional Message Passing Neural Network++; GCN: Graph Convolutional Networks; GAT: Graph Attention Networks; MCP: Model Context Protocol; QWEN3: Qwen3-235B-A22B-FP8 model.

Journal of Materials Informatics
ISSN 2770-372X (Online)
Follow Us

Portico

All published articles are preserved here permanently:

https://www.portico.org/publishers/oae/

Portico

All published articles are preserved here permanently:

https://www.portico.org/publishers/oae/